Application of RBF Neural Network in Atmospheric Environmental Quality Assessment under Industrial Property Right Structure

被引：0
|
作者：
Wang, Ziwei [1 ]
Zhang, Guangtao [2 ]
Liu, Huihuang [1 ]
机构：
[1] Hunan Univ, Sch Econ & Trade, Changsha, Hunan, Peoples R China
[2] Beijing Normal Univ, Sch Chem, Beijing, Peoples R China
来源：
EKOLOJI | 2019年 / 28卷 / 107期
关键词：
RBF neural network; environmental quality; assessment; FACE RECOGNITION;
D O I：
暂无
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
Firstly, this paper analyses the structure system of industrial property right under the background of the environment. In the evaluation of atmospheric environmental quality, RBF neural network model is used in the article. Different from BP network, function-connected network realizes the classification of complex patterns by enhancing input patterns. The model is used to study the atmospheric environmental quality of an example. The results show that the application of function-connected network in environmental quality assessment is objective and practical.
引用
收藏
页码：1115 / 1121
页数：7
相关论文
共 50 条
  • [1] Application of Artificial Neural Network in Environmental Water Quality Assessment
    Chu, H. B.
    Lu, W. X.
    Zhang, L.
    JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY, 2013, 15 (02): : 343 - 356
  • [2] Application of RBF Neural Network in Network Security Risk Assessment
    Zheng, Zhao-na
    Sun, Peng
    2011 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND APPLICATIONS, 2011, : 43 - 46
  • [3] The application of Artifical Neural Network in the groundwater quality assessment in Industrial Park Catchment
    Yu Fu-rong
    Liu Zhong-pei
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 1340 - 1343
  • [4] An Atmospheric Quality Forecasting Model Based on RBF Neural Network and Its Applications
    Wang, Limin
    Li, Ming
    Han, Xuming
    Wang, Hongzhi
    Zhang, Shuying
    PROCEEDINGS OF 2008 INTERNATIONAL COLLOQUIUM ON ARTIFICIAL INTELLIGENCE IN EDUCATION, 2008, : 226 - 230
  • [5] Application of Artificial Neural Network to the Assessment Environmental Quality of Urban wetland in Northeast China
    Li Ji-guang
    Ren Yi-bin
    Wang Qi-shuo
    Tian Shuangqi
    He Ji-wei
    Wang He
    Lu Xian-guo
    Ren Nan-qi
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 1455 - +
  • [6] Dual model structure of software instrument using RBF neural network and its application to atmospheric and vacuum distillation units
    Zhen, Xinping
    Wei, Huan
    Li, Quanshan
    Pan, Lideng
    WMSCI 2005: 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Vol 6, 2005, : 407 - 410
  • [7] Application of neural network on environmental impact assessment tools
    Manufacturing Engineering Department, University of Texas-Pan American, TX, 78539, United States
    不详
    Int. J. Sustainable Manuf., 2008, 1-2 (100-121):
  • [8] Urban Environmental Quality Assessment by BP Neural Network Model
    Gao Yangjun
    He Mei
    ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 2, 2008, : 356 - 360
  • [9] Application Research of Artificial Neural Network in Environmental Quality Monitoring
    Zhao, Kunrong
    He, Tingting
    Wu, Shuang
    Wang, Songling
    Dai, Bilan
    Yang, Qifan
    Lei, Yutao
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 33 (12)
  • [10] A study on the application of RBF neural network in the estimation of English language and literature teaching quality
    Li, Lifeng
    INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED DEVELOPMENT, 2023, 13 (2-4) : 451 - 466
12345